{"id":2207,"date":"2023-07-23T06:30:13","date_gmt":"2023-07-23T06:30:13","guid":{"rendered":"https:\/\/statorials.org\/cn\/true_divide-%e4%b8%ad%e9%81%87%e5%88%b0%e6%97%a0%e6%95%88%e5%80%bc\/"},"modified":"2023-07-23T06:30:13","modified_gmt":"2023-07-23T06:30:13","slug":"true_divide-%e4%b8%ad%e9%81%87%e5%88%b0%e6%97%a0%e6%95%88%e5%80%bc","status":"publish","type":"post","link":"https:\/\/statorials.org\/cn\/true_divide-%e4%b8%ad%e9%81%87%e5%88%b0%e6%97%a0%e6%95%88%e5%80%bc\/","title":{"rendered":"\u5982\u4f55\u4fee\u590d\uff1atrue_divide \u4e2d\u9047\u5230\u65e0\u6548\u503c"},"content":{"rendered":"

<\/p>\n

\n

\u4f7f\u7528 NumPy \u65f6\u53ef\u80fd\u9047\u5230\u7684\u4e00\u4e2a\u8b66\u544a\u662f\uff1a<\/span><\/p>\n

 RuntimeWarning<\/span> : invalid value encountered in true_divide<\/strong><\/pre>\n
\u5f53\u60a8\u5c1d\u8bd5\u9664\u4ee5 NumPy \u6570\u7ec4\u4e2d\u7684\u65e0\u6548\u503c\uff08\u4f8b\u5982 NaN\u3001Inf \u7b49\uff09\u65f6\uff0c\u4f1a\u51fa\u73b0\u6b64\u8b66\u544a\u3002<\/span><\/p>\n
\u5e94\u8be5\u6ce8\u610f\u7684\u662f\uff0c\u8fd9\u53ea\u662f\u4e00\u4e2a\u8b66\u544a<\/strong>\uff0c\u5f53\u5c1d\u8bd5\u9664\u4ee5\u65e0\u6548\u503c\u65f6\uff0cNumPy \u5c06\u4ec5\u8fd4\u56de nan \u503c\u3002<\/span><\/p>\n
\u4ee5\u4e0b\u793a\u4f8b\u5c55\u793a\u4e86\u5982\u4f55\u5728\u5b9e\u8df5\u4e2d\u54cd\u5e94\u6b64\u8b66\u544a\u3002<\/span><\/p>\n
\u5982\u4f55\u91cd\u73b0\u9519\u8bef<\/strong><\/span><\/h3>\n
\u5047\u8bbe\u6211\u4eec\u5c1d\u8bd5\u5c06\u4e00\u4e2a NumPy \u6570\u7ec4\u7684\u503c\u9664\u4ee5\u53e6\u4e00\u4e2a NumPy \u6570\u7ec4\u7684\u503c\uff1a<\/span><\/p>\n
 import<\/span> numpy as<\/span> np\n\n#define NumPy arrays\nx = np. array<\/span> ([4, 5, 5, 7, 0])\ny = np. array<\/span> ([2, 4, 6, 7, 0])\n\n#divide the values in x<\/em> by the values in y<\/em>\n<\/span>n.p. divide<\/span> (x,y)\n\narray([2., 1.25, 0.8333, 1., no])\n\nRuntimeWarning<\/span> : invalid value encountered in true_divide\n<\/span><\/span><\/strong><\/pre>\n
\u8bf7\u6ce8\u610f\uff0cNumPy \u5c06 x \u7684\u6bcf\u4e2a\u503c\u9664\u4ee5 y \u7684\u76f8\u5e94\u503c\uff0c\u4f46\u4f1a\u4ea7\u751fRuntimeWarning<\/strong> \u3002<\/span><\/p>\n
\u8fd9\u662f\u56e0\u4e3a\u6700\u540e\u6267\u884c\u7684\u9664\u6cd5\u8fd0\u7b97\u662f\u96f6\u9664\u4ee5\u96f6\uff0c\u7ed3\u679c\u662f\u503cnan<\/strong> \u3002<\/span><\/p>\n
\u5982\u4f55\u5e94\u5bf9\u6b64\u8b66\u544a<\/strong><\/span><\/h3>\n
\u524d\u9762\u8bf4\u8fc7\uff0c\u8fd9\u4e2aRuntimeWarning\u53ea\u662f\u4e00\u4e2a\u8b66\u544a<\/strong>\uff0c\u5e76\u4e0d\u4f1a\u963b\u6b62\u4ee3\u7801\u6267\u884c\u3002<\/span><\/span><\/p>\n
\u4f46\u662f\uff0c\u5982\u679c\u60a8\u60f3\u6291\u5236\u6b64\u7c7b\u8b66\u544a\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u8bed\u6cd5\uff1a<\/span><\/p>\n
 n.p. seterr<\/span> (invalid=' ignore<\/span> ')<\/span>\n<\/span><\/strong><\/pre>\n
\u8fd9\u544a\u8bc9 NumPy \u9690\u85cf\u4efb\u4f55\u5305\u542b\u201c\u65e0\u6548\u201d\u6d88\u606f\u7684\u8b66\u544a\u3002<\/span><\/p>\n
\u56e0\u6b64\uff0c\u5982\u679c\u6211\u4eec\u518d\u6b21\u8fd0\u884c\u4ee3\u7801\uff0c\u6211\u4eec\u5c06\u4e0d\u4f1a\u6536\u5230\u4efb\u4f55\u8b66\u544a\uff1a<\/span><\/p>\n
 import<\/span> numpy as<\/span> np\n\n#define NumPy arrays\nx = np. array<\/span> ([4, 5, 5, 7, 0])\ny = np. array<\/span> ([2, 4, 6, 7, 0])\n\n#divide the values in x<\/em> by the values in y<\/em>\n<\/span>n.p. divide<\/span> (x,y)\n\narray([2., 1.25, 0.8333, 1., no])<\/span><\/span><\/strong><\/pre>\n
\u8f93\u51fa\u7684\u6700\u540e\u4e00\u4e2a\u503c\u4ecd\u7136\u8fd4\u56denan<\/strong>\u503c\uff0c\u4f46\u8fd9\u6b21\u6ca1\u6709\u663e\u793a\u8b66\u544a\u6d88\u606f\u3002<\/span><\/p>\n
\u5176\u4ed6\u8d44\u6e90<\/strong><\/span><\/h3>\n
\u4ee5\u4e0b\u6559\u7a0b\u89e3\u91ca\u4e86\u5982\u4f55\u4fee\u590d Python \u4e2d\u7684\u5176\u4ed6\u5e38\u89c1\u9519\u8bef\uff1a<\/span><\/p>\n
\u5982\u4f55\u4fee\u590d Pandas \u4e2d\u7684 KeyError<\/a>
 \u5982\u4f55\u4fee\u590d\uff1aValueError\uff1a\u65e0\u6cd5\u5c06 float NaN \u8f6c\u6362\u4e3a int<\/a>
 \u5982\u4f55\u4fee\u590d\uff1aValueError\uff1a\u64cd\u4f5c\u6570\u65e0\u6cd5\u4e0e\u5f62\u72b6\u4e00\u8d77\u5e7f\u64ad<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\u4f7f\u7528 NumPy \u65f6\u53ef\u80fd\u9047\u5230\u7684\u4e00\u4e2a\u8b66\u544a\u662f\uff1a RuntimeWarning : invalid value en […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11],"tags":[],"class_list":["post-2207","post","type-post","status-publish","format-standard","hentry","category-11"],"yoast_head":"\n\u5982\u4f55\u4fee\u590d\uff1atrue_divide \u4e2d\u9047\u5230\u65e0\u6548\u503c - Statorials<\/title>\n<meta name=\"description\" content=\"\u672c\u6559\u7a0b\u4ecb\u7ecd\u5982\u4f55\u5728 Python \u4e2d\u5904\u7406\u4ee5\u4e0b\u8b66\u544a\u6d88\u606f\uff1aRuntimeWarning: true_divide \u4e2d\u9047\u5230\u65e0\u6548\u503c\u3002\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/statorials.org\/cn\/true_divide-\u4e2d\u9047\u5230\u65e0\u6548\u503c\/\" \/>\n<meta property=\"og:locale\" content=\"zh_CN\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u5982\u4f55\u4fee\u590d\uff1atrue_divide \u4e2d\u9047\u5230\u65e0\u6548\u503c - 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